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Fix issue #9
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ptaconet committed Oct 24, 2024
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98 changes: 98 additions & 0 deletions joss-paper/paper.bib
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Expand Up @@ -116,3 +116,101 @@ @software{rgee
doi = {10.5281/zenodo.3945409},
url = {https://doi.org/10.5281/zenodo.3945409}
}

@Misc{modisfast,
note = {R package version 1.0.0},
title = {modisfast : fast and efficient access to MODIS data with R},
author = {Paul Taconet and Nicolas Moiroux},
url = {https://hal.science/hal-04603903},
year = {2024},
month = {Jun},
swhid =
{swh:1:dir:21b5ddcecb39e683c9f2fc5c135f23dc1b36fe28;origin=https://github.com/ptaconet/modisfast;visit=swh:1:snp:4064f0aae2b29808e9cbd096afaa495fd1360f78;anchor=swh:1:rev:9e5b2a456a0e1acd8ab34e6909424ae6c403150d},
repository = {git+https://github.com/ptaconet/modisfast.git},
license = {https://spdx.org/licenses/GPL-3.0+},
keywords = {MODIS ; Earth datacube ; R ; OPeNDAP ; VIIRS ; Earth
science},
hal_id = {hal-04603903},
hal_version = {v1},
}

@software{opendap1,
author = {James Gallagher and
Nathan Potter and
rmorris2342 and
kyang2014 and
Captain James Tiberius Kirk and
Kodi Neumiller and
The Robot Travis and
tsgouros and
blackone-sudo and
Slav Korolev and
Dan Horák and
Ethan Davis and
H. Joe Lee and
yuanho and
Bo Anderson and
Dan Holloway and
Orion Poplawski and
Ryan Carsten Schmidt and
Sam Lloyd},
title = {OPENDAP/libdap4: Hyrax-1.17.0},
month = jan,
year = 2024,
publisher = {Zenodo},
version = {3.21.0-27},
doi = {10.5281/zenodo.10564122},
url = {https://doi.org/10.5281/zenodo.10564122}
}

@software{opendap2,
author = {James Gallagher and
Nathan Potter and
kyang2014 and
The Robot Travis and
Kodi Neumiller and
Slav Korolev and
Corey Hemphill and
H. Joe Lee and
Riley Rimer and
Sam Lloyd and
blackone-sudo and
Uday Kari and
Dan Holloway and
rmorris2342 and
Orion Poplawski and
Captain James Tiberius Kirk and
Edward Hartnett and
Ethan Davis and
Lewis John McGibbney and
tsgouros and
ptype},
title = {OPENDAP/bes: BES-3.21.0-46 for Hyrax-1.17.0},
month = jan,
year = 2024,
publisher = {Zenodo},
version = {3.21.0-46},
doi = {10.5281/zenodo.10564745},
url = {https://doi.org/10.5281/zenodo.10564745}
}

@software{opendap3,
author = {Nathan Potter and
The Robot Travis and
James Gallagher and
Uday Kari and
Slav Korolev and
Kodi Neumiller and
ideaesb and
Riley Rimer and
Dan Holloway and
Sam Lloyd},
title = {{OPENDAP/olfs: OLFS version 1.18.14 for
Hyrax-1.17.0}},
month = jan,
year = 2024,
publisher = {Zenodo},
version = {1.18.14},
doi = {10.5281/zenodo.10565216},
url = {https://doi.org/10.5281/zenodo.10565216}
}
22 changes: 11 additions & 11 deletions joss-paper/paper.md
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Expand Up @@ -10,17 +10,17 @@ tags:
- Remote sensing
- OPeNDAP
authors:
- name: Paul Taconet
corresponding: true
orcid: "0000-0001-7429-7204"
affiliation: 1
- name: Nicolas Moiroux
orcid: "0000-0001-6755-6167"
affiliation: 1
- name: Paul Taconet
corresponding: true
orcid: "0000-0001-7429-7204"
affiliation: 1
- name: Nicolas Moiroux
orcid: "0000-0001-6755-6167"
affiliation: 1
affiliations:
- name: MIVEGEC, Université de Montpellier, CNRS, IRD, Montpellier, France
index: 1
date: 07 August 2024
date: 24 October 2024
bibliography: paper.bib
---

Expand All @@ -32,9 +32,9 @@ bibliography: paper.bib

EO satellite data are invaluable for monitoring and understanding our planet, with NASA's datasets like MODIS [@JUSTICE20023], VIIRS [@ROMAN2024113963], and GPM [@SkofronickJackson2017] among the most important. These collections have provided crucial data for over 20 years, supporting research in areas such as climate change, disaster response, biodiversity, public health, and more [@modis-applications].

However, despite the increasing availability of EO data, accessing and utilizing them remains challenging [@AGNOLI2023122357]. The large file sizes and complex multidimensional layers make it difficult to work with long time series, especially in regions with limited internet infrastructure. This complexity often leads to underutilization of data, fragmented workflows, and reliance on proprietary, energy-intensive tools like [Google Earth Engine](https://earthengine.google.com/), which can hinder transparent and reproducible Open Science.
However, despite the increasing availability of EO data, accessing and utilizing them remains challenging [@AGNOLI2023122357]. The large file sizes and complex multidimensional layers make it difficult to access and handle long time series, especially in regions with limited internet infrastructure. This complexity often leads to underutilization of data, fragmented workflows, and reliance on proprietary, energy-intensive tools like [Google Earth Engine](https://earthengine.google.com/), which can hinder transparent and reproducible Open Science.

To address these challenges, we developed `modisfast`, an R [@R] package designed to simplify and speed-up the download and import of MODIS, VIIRS, and GPM time series for R users. Built on the [OPeNDAP](https://www.opendap.org/) protocol, `modisfast` enhances the existing R ecosystem of tools for accessing MODIS data by introducing new features and supporting additional data sources. It allows users to apply spatial, temporal, and band/layer filters during the download phase, optimizing data retrieval and processing while promoting open-source international standards for data access.
To address these challenges, we developed `modisfast`, an R [@R] package designed to simplify and speed-up the download and import of MODIS, VIIRS, and GPM time series for R users. Built on the [OPeNDAP](https://www.opendap.org/) protocol [@opendap1; @opendap2; @opendap3], `modisfast` enhances the existing R ecosystem of tools for accessing MODIS data by introducing new features and supporting additional data sources. It allows users to apply spatial, temporal, and band/layer filters during the download phase, optimizing data retrieval and processing while promoting open-source international standards for data access.

# Target audience

Expand Down Expand Up @@ -85,7 +85,7 @@ Besides `modisfast`, there are several open-source R packages available for acce
| Enables dimensional subsetting at the download phase | yes | yes | no | yes | yes | yes |
| Maximum area size allowed for download | unlimited | unlimited | NA | unlimited | 200 km x 200 km | unlimited |
| Website | [`GitHub`](https://github.com/ptaconet/modisfast) | [`GitHub`](https://github.com/bluegreen-labs/appeears) | [`GitHub`](https://github.com/fdetsch/MODIS) | [`GitHub`](https://github.com/ropensci/MODIStsp) | [`GitHub`](https://github.com/ropensci/MODISTools) | [`GitHub`](https://github.com/r-spatial/rgee) |
| Publication | | @rgee | NA | @MODIStsp | @modistools | @rgee |
| Reference | @modisfast | @appeears | NA | @MODIStsp | @modistools | @rgee |

Table 1: Comparison of `modisfast` with other alternatives.

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